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2.1. Gaussian mixture models — scikit-learn 1.7...
sklearn.mixture is a package which enables one to learn Gaussian Mixture Models (diagonal, spherical, tied and full covariance matrices supported), sample them, and estimate them from data. Facilit...scikit-learn.org/stable/modules/mixture.html -
14. External Resources, Videos and Talks — scik...
The scikit-learn MOOC: If you are new to scikit-learn, or looking to strengthen your understanding, we highly recommend the scikit-learn MOOC (Massive Open Online Course). The MOOC, created and mai...scikit-learn.org/stable/presentations.html -
homogeneity_completeness_v_measure — scikit-lea...
Skip to main content Back to top Ctrl + K GitHub Choose version homogeneity_completeness_v_measure # sklearn.metrics....scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_completeness_v_measure.html -
Post pruning decision trees with cost complexit...
The DecisionTreeClassifier provides parameters such as min_samples_leaf and max_depth to prevent a tree from overfiting. Cost complexity pruning provides another option to control the size of a tre...scikit-learn.org/stable/auto_examples/tree/plot_cost_complexity_pruning.html -
top_k_accuracy_score — scikit-learn 1.7.0 docum...
Skip to main content Back to top Ctrl + K GitHub Choose version top_k_accuracy_score # sklearn.metrics. top_k_accurac...scikit-learn.org/stable/modules/generated/sklearn.metrics.top_k_accuracy_score.html -
7.1. Pipelines and composite estimators — sciki...
To build a composite estimator, transformers are usually combined with other transformers or with predictors(such as classifiers or regressors). The most common tool used for composing estimators i...scikit-learn.org/stable/modules/compose.html -
johnson_lindenstrauss_min_dim — scikit-learn 1....
Gallery examples: The Johnson-Lindenstrauss bound for embedding with random projectionsscikit-learn.org/stable/modules/generated/sklearn.random_projection.johnson_lindenstrauss_min_dim... -
make_sparse_spd_matrix — scikit-learn 1.7.0 doc...
Gallery examples: Sparse inverse covariance estimationscikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_spd_matrix.html -
enable_halving_search_cv — scikit-learn 1.7.0 d...
Enables Successive Halving search-estimators The API and results of these estimators might change without any deprecation cycle. Importing this file dynamically sets the HalvingRandomSearchCV and H...scikit-learn.org/stable/modules/generated/sklearn.experimental.enable_halving_search_cv.html -
cosine_similarity — scikit-learn 1.7.0 document...
Gallery examples: Plot classification boundaries with different SVM Kernelsscikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.cosine_similarity.html